Igor Bodrenko
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Structural Biology top 10%
Papers in
-
- Atomic and Molecular Physics 9
- Advanced Chemical Physics Studies 7
- Genetics 17
- Bacterial Genetics and Biotechnology 17
- Co-authors
- Matteo Ceccarelli (31 shared papers)Silvia Acosta‐Gutiérrez (16 shared papers)Mathias Winterhalter (13 shared papers)Mariano Andrea Scorciapino (11 shared papers)Bert van den Berg (4 shared papers)James H. Naismith (2 shared papers)Muriel Masi (2 shared papers)Jean‐Marie Pagès (2 shared papers)
In The Last Decade
Igor Bodrenko
56 papers receiving 1.2k citations
Igor Bodrenko's Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Medicine 385
- Structural Biology 19
- Genetics 344
- Endocrinology 57
- Microbiology 57
Countries citing papers authored by Igor Bodrenko
This map shows the geographic impact of Igor Bodrenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Igor Bodrenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Bodrenko more than expected).
Fields of papers citing papers by Igor Bodrenko
This network shows the impact of papers produced by Igor Bodrenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Igor Bodrenko. The network helps show where Igor Bodrenko may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Bodrenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Porins and small-molecule translocation across the outer membrane of Gram-negative bacteria Hit paper breakdown → | 2019 | 300 |
| 2 | 2018 | 120 | |
| 3 | 2017 | 83 | |
| 4 | 2017 | 50 | |
| 5 | 2015 | 50 | |
| 6 | 2020 | 49 | |
| 7 | 2011 | 34 | |
| 8 | 2018 | 33 | |
| 9 | 2016 | 30 | |
| 10 | 2012 | 30 | |
| 11 | 2018 | 24 | |
| 12 | 2017 | 24 | |
| 13 | 2005 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2019 | 20 | |
| 19 | 2021 | 19 | |
| 20 | 2008 | 16 |
About Igor Bodrenko
Igor Bodrenko is a scholar working on Atomic and Molecular Physics, and Optics, Genetics, Molecular Biology, Biomedical Engineering and Ecology, having authored 56 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (17 papers), Nanopore and Nanochannel Transport Studies (10 papers), Antibiotic Resistance in Bacteria (9 papers), Atomic and Molecular Physics (9 papers), Bacteriophages and microbial interactions (9 papers), Advanced Chemical Physics Studies (7 papers), X-ray Spectroscopy and Fluorescence Analysis (5 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). The work is most often cited by research in Molecular Medicine (385 citations), Structural Biology (19 citations), Genetics (344 citations), Endocrinology (57 citations) and Microbiology (57 citations). Igor Bodrenko has collaborated with scholars based in Italy, Russia and Germany. Frequent co-authors include Matteo Ceccarelli, Silvia Acosta‐Gutiérrez, Mathias Winterhalter, Mariano Andrea Scorciapino, Bert van den Berg, James H. Naismith, Muriel Masi, Jean‐Marie Pagès, L. Moynié and Julia Vergalli. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Chemical Physics, ACS Infectious Diseases, Physics Letters A and Biophysical Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.